DeepDetect is an Open-Source Deep Learning platform made by Jolibrain's scientists for the Enterprise
TensorflowJS EfficientNet Under Construction 👷 currently supporting only B0 checkpoint. This repository contains a nodeJs wrapper of EfficientNet, a lightweight convolutional neural network architecture achieving the state-of-the-art accuracy with an order of magnitude fewer parameters and FLOPS, on both ImageNet and five other commonly used transfer learning datasets.
EfﬁcientNet: Rethinking Model Scaling for Convolutional Neural Networks 2019), and achieves even better efﬁciency than hand-crafted mobile ConvNets by extensively tuning the network width,
Dec 14, 2020 · tf.keras.applications.EfficientNetB0( include_top=True, weights='imagenet', input_tensor=None, input_shape=None, pooling=None, classes=1000, classifier_activation='softmax', **kwargs ) Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one ...
Jul 26, 2019 · OpenCV 4.1.1 and 3.4.7 have been released
May 13, 2020 · With EfficientNet the number of parameters is reduces by magnitudes, while achieving state-of-the-art results on ImageNet, the benchmark for such applications. Transfer Learning. While EfficientNet reduces the number of parameters, training of convolutional networks is still a time-consuming task.
EfficientNet: Increasing the Accuracy and Robustness CNNs: EfficientNet implementation is prepared as an attachment to the blog post CIFAR10 Transfer Learning was performed on the CIFAR10 dataset. References:
About EfficientNet Models. EfficientNets rely on AutoML and compound scaling to achieve superior EfficientNets achieve state-of-the-art accuracy on ImageNet with an order of magnitude better...